Katie T. Freeman

1.8k citations
43 papers · 1.4k indexed · h-index 18
Topics
Biochemical Analysis and Sensing Techniques (28 papers)Regulation of Appetite and Obesity (25 papers)Receptor Mechanisms and Signaling (15 papers)
Partner nations
United StatesMexicoItaly

In The Last Decade

Katie T. Freeman

40 papers receiving 1.4k citations

Peers

Katie T. Freeman
Comparison fields: 5 of 92
  • Physiology 650
  • Molecular Biology 392
  • Cellular and Molecular Neuroscience 361
  • Oncology 227
  • Nutrition and Dietetics 205
Replace Wen‐Li Mi with:
Wen‐Li Mi China
Yue Sun China
Xin Luo United States
Katharine Walker United States
Sarah Falk Denmark
Bao‐Chun Jiang China
Daniel Vardeh United States
P.W. Mantyh United States
Anja Finn Sweden
Kyle G. Halvorson United States
Katie T. Freeman relative to Wen‐Li Mi China Wen‐Li Mi's profile →
Citations per field
00.5×4.2×
Wen‐Li Mi · 1×
Citations per year

Countries citing papers authored by Katie T. Freeman

Since Specialization
Citations

This map shows the geographic impact of Katie T. Freeman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Katie T. Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katie T. Freeman more than expected).

Fields of papers citing papers by Katie T. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katie T. Freeman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Katie T. Freeman. The network helps show where Katie T. Freeman may publish in the future.

Co-authorship network of co-authors of Katie T. Freeman

This figure shows the co-authorship network connecting the top 25 collaborators of Katie T. Freeman. A scholar is included among the top collaborators of Katie T. Freeman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katie T. Freeman. Katie T. Freeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 17
5 4
6 1
7 6
8 4
9 16
10 40
11 35
12 25
13 128
14 141
15 153
16 53
17 141
18 39
19 46
20 94

About Katie T. Freeman

Katie T. Freeman is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Anesthesiology and Pain Medicine, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (28 papers), Regulation of Appetite and Obesity (25 papers) and Receptor Mechanisms and Signaling (15 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (161 citations), Endocrine and Autonomic Systems (188 citations) and Physiology (650 citations). Katie T. Freeman has collaborated with scholars based in United States, Mexico and Italy. Frequent co-authors include Juan Miguel Jiménez‐Andrade, Joseph R. Ghilardi, Michael A. Kuskowski, Patrick W. Mantyh, Aaron P. Bloom, William G. Mantyh, Carrie Haskell‐Luevano, Magdalena Kaczmarska, Kathleen Coughlin and Gabriela Castañeda‐Corral. Their work appears in journals such as Journal of Neuroscience, Oncogene and Pain.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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